Jnana Ramakrishna Chodisetti | Cybersecurity | Best Researcher Award

Jnana Ramakrishna Chodisetti | Cybersecurity | Best Researcher Award

Jnana Ramakrishna Chodisetti, Tata Consultancy Services, India

Jnana Ramakrishna Chodisetti is a Cybersecurity Engineer at Tata Consultancy Services, specializing in malware analysis, threat hunting, and incident response. He holds a Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, where he graduated with First Class honors. Jnana’s expertise spans digital forensics, cryptography, and machine learning, with significant contributions to image encryption and malicious URL detection. His research includes developing advanced encryption algorithms and analyzing lightweight cryptographic methods for IoT. He has also gained practical experience through internships and research roles, and actively participates in cybersecurity competitions and organizations.

Publication profile

ORCID

Education

Jnana Ramakrishna Chodisetti earned his Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, India, graduating in 2023 with First Class honors and a CGPA of 7.71 on a 10.0 scale. His academic coursework covered a broad range of subjects including Computer Networks, Calculus, Probability and Random Processes, Linear Algebra, Matrix Algebra, Computer Programming, and Data Structures and Algorithms.

Experience

Jnana began his professional career as a Cybersecurity Engineer at Tata Consultancy Services in Chennai, India, starting in August 2023. In this role, he works within the DFIR – Threat Hunting unit, focusing on Malware Analysis, Threat Hunting, and Incident Response, utilizing tools such as Splunk, QRadar, and Sentinel. Prior to this, he completed an internship as a Blue Teaming Trainee with Virtual Cyber Labs, where he gained practical knowledge in threat detection and research. He also served as a Research Intern at TIFAC-CORE in Cybersecurity, Amrita Vishwa Vidyapeetham, where he worked on image encryption schemes and cryptanalysis, proposing innovative methods using Elliptic Curve Cryptography.

Research focus

Jnana’s research has primarily concentrated on advancing cybersecurity and encryption technologies. His work includes developing novel image encryption algorithms using a 3D Logistic Map and an improved Chirikov Map, as well as analyzing lightweight cryptographic algorithms for IoT environments. Additionally, his research explores efficient authenticated encryption schemes based on Elliptic Curve Cryptography, aimed at enhancing both security and authentication for digital images.

Publication top notes

Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Mr. Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Assistant Professor VIT Bhopal University, Madhya Pradesh India

👨‍💻 Ashfaq Ahmad Najar is an accomplished IT professional and academic, currently serving as an IT Manager and Faculty at VIT Bhopal University, Madhya Pradesh. With a rich background in cyber security, machine learning, and deep learning, he has made significant contributions to the field through his research and publications. Ashfaq is dedicated to advancing knowledge in cybersecurity and has presented his work at various national and international platforms.

 

Profile

Google Scholar

Education

🎓 Ashfaq Ahmad Najar is nearing the completion of his Ph.D. in Computer Science from the Central University of Kerala, having submitted his thesis. He holds a Master’s degree in Information Technology from the Central University of Kashmir and a Bachelor’s degree in Information Technology from the University of Kashmir. His early education was completed at the J&K State Board of School Education.

Experience

💼 Ashfaq has a robust professional background, currently holding the position of IT Manager and Faculty at VIT Bhopal University. He has previously worked as an IT Manager Head and Tutor at KCCSBA Bijbehera, Anantnag, and as a Guest Faculty at Govt Boys Degree College Anantnag. His experience is complemented by his active participation in various workshops, seminars, and hackathons.

Research Interest

🔍 Ashfaq’s research interests are focused on Cyber Security, specifically Distributed Denial of Service (DDoS) attacks, as well as Machine Learning and Deep Learning. His work aims to develop robust systems to detect and mitigate cyber threats, leveraging advanced neural network architectures and machine learning algorithms.

Awards

🏆 Ashfaq has received several accolades, including the UGC-NET 2023 qualification, the GATE 2018 qualification, and the CUK University Fellowship for his Ph.D. research. He was also honored with the Young Researcher Award for his work on DDoS attack detection using MLP and random forest algorithms, and recognized as the best all-rounder in a cricket tournament organized by the Central University of Kerala.

Publications Top Notes

📝 Ashfaq Ahmad Najar has published numerous research articles in prestigious journals. Some of his notable works include:

A novel CNN-based approach for detection and classification of DDoS attacks. Concurrency Computat Pract Exper, 2024, Wiley. Cited by 4 articles

A robust DDoS intrusion detection system using convolutional neural network. Computers and Electrical Engineering, 2024, Elsevier. Cited by 8 articles

Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks. Computers & Security, 2024, Elsevier. Cited by 6 articles

DDoS attack detection and mitigation using deep neural network in SDN environment. Computers & Security, 2024, Elsevier. Cited by 3 articles

DDoS attack detection using MLP and random forest algorithms. International Journal of Information Technology, 2022, Springer. Cited by 5 articles